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The Bayesian Block Algorithm
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The Bayesian Block Algorithm
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This presentation describes the Bayesian Block algorithm in the context of its application to analysis of time series data from the Fermi Gamma Ray Space Telescope. More generally this algorithm performs optimal segmentation analysis on sequential data in any mode, with arbitrary sampling and in the presence of gaps and exposure variations. A new procedure for correcting for backgrounds is also described.
Forward citations
Cited by 2 Pith papers
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Detectability of Polarized Gamma-ray Emission from Blazar Flares with COSI
COSI is projected to detect MeV polarization from up to about 6 blazar flares over its two-year mission, mostly flat-spectrum radio quasars, assuming GeV-like flare rates and baseline backgrounds.
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Detectability of Polarized Gamma-ray Emission from Blazar Flares with COSI
Estimates based on 17 years of Fermi LAT data indicate COSI may detect MeV polarization in a small number of blazar flares, with flat-spectrum radio quasars as the top targets.
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